# Trukparkingclub Parser Spider (`getdataforme/trukparkingclub-parser-spider`) Actor Extract comprehensive truck parking listings from TruckParkingClub.com, including availability, pricing, amenities, ratings, and geolocation. Perfect for logistics planning, market research, and fleet automation.... - **URL**: https://apify.com/getdataforme/trukparkingclub-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### Description Extract comprehensive truck parking listings from TruckParkingClub.com, including availability, pricing, amenities, ratings, and geolocation. Perfect for logistics planning, market research, and fleet automation.... --- ## Trukparkingclub Parser Spider The Trukparkingclub Parser Spider is a powerful Apify Actor designed to scrape and extract detailed truck parking listings from TruckParkingClub.com. It provides structured data on parking spots, including availability, pricing, amenities, and owner information, enabling users to gather insights for logistics, travel, and market analysis. This tool streamlines data collection, saving time and ensuring reliable, up-to-date information for decision-making. ### Features - **Comprehensive Data Extraction**: Scrapes key details like listing IDs, titles, available seats, ratings, reviews, and geolocation coordinates. - **Flexible Pricing Information**: Captures multiple price plans with durations and vehicle types for thorough cost analysis. - **Amenity and Vehicle Support**: Includes lists of amenities and allowed vehicle types for complete listing profiles. - **High Accuracy and Reliability**: Built with robust parsing to handle dynamic web content and minimize errors. - **Scalable Performance**: Optimized for efficient scraping with minimal resource usage, suitable for large-scale data needs. - **JSON Output Format**: Delivers clean, structured JSON data ready for integration into databases or analytics tools. - **Easy Configuration**: Simple input parameters for quick setup and customization of scraping targets. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Url | string | No | The URL to scrape truck parking listings from TruckParkingClub. Must be a valid HTTP/HTTPS URL. Defaults to a sample URL with coordinates. | "https://truckparkingclub.com/truck-parking?lat=48.455885&lng=-98.163375&zoom=4.000000" | ### Example Usage To run the Actor, provide the input JSON configuration: ```json { "Url": "https://truckparkingclub.com/truck-parking?lat=48.455885&lng=-98.163375&zoom=4.000000" } ```` Example output in JSON format: ```json [ { "listing_id": 1890, "title": "Walburg Travel Center - Buy 75 gal of fuel, get 1 daily parking FREE", "available_seats": 191, "seats": 210, "average_ratings": 4.6, "reviews_count": 545, "owner_public_id": "QHE957", "owner_first_name": "Mushtaq", "owner_last_name": "A", "state_slug": "texas", "city_slug": "georgetown", "details_slug": "4610-south-ih-35-service-road", "lat": "30.711636", "lng": "-97.64280199999999", "amenities": [1, 6, 3, 12, 10, 32, 7, 9, 15], "vehicle_type_allowed": [0], "prices": [ { "price_id": 9186, "price": 1200, "plan_duration": 2, "vehicle_type": 0 }, { "price_id": 9366, "price": 100, "plan_duration": 1, "vehicle_type": 0 }, { "price_id": 9631, "price": 30000, "plan_duration": 4, "vehicle_type": 0 } ], "actor_id": "cKR4PT9r1YGq0NYjk", "run_id": "zSDJBCAXHhijjR0g0" }, { "listing_id": 4132, "title": "Fate, TX Truck and Trailer Parking on S FM 551", "available_seats": 118, "seats": 500, "average_ratings": 4.98, "reviews_count": 40, "owner_public_id": "GPV794", "owner_first_name": "HELLEN", "owner_last_name": "B", "state_slug": "texas", "city_slug": "royse-city", "details_slug": "3182-fm551-75189", "lat": "32.910049", "lng": "-96.369630", "amenities": [1, 6, 3, 9, 14, 10, 31, 30, 17, 39, 13, 38, 15], "vehicle_type_allowed": [0], "prices": [ { "price_id": 74390, "price": 16900, "plan_duration": 4, "vehicle_type": 0 } ], "actor_id": "cKR4PT9r1YGq0NYjk", "run_id": "zSDJBCAXHhijjR0g0" }, { "listing_id": 6268, "title": "Greensboro, GA Truck and Trailer Parking on 1021 Airport Rd", "available_seats": 50, "seats": 50, "average_ratings": 5, "reviews_count": 2, "owner_public_id": "SVK485", "owner_first_name": "Maurice", "owner_last_name": "B", "state_slug": "georgia", "city_slug": "greensboro", "details_slug": "1021-airport-rd-30642", "lat": "33.589482", "lng": "-83.150797", "amenities": [1, 13, 18, 3, 19, 32, 14, 25, 10, 15, 39, 38, 34, 33], "vehicle_type_allowed": [0], "prices": [ { "price_id": 34981, "price": 1000, "plan_duration": 2, "vehicle_type": 0 }, { "price_id": 34982, "price": 6000, "plan_duration": 3, "vehicle_type": 0 }, { "price_id": 34984, "price": 18000, "plan_duration": 4, "vehicle_type": 0 } ], "actor_id": "cKR4PT9r1YGq0NYjk", "run_id": "zSDJBCAXHhijjR0g0" } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze pricing trends and availability across regions for logistics planning. - **Competitive Intelligence**: Monitor competitors' parking offerings and customer ratings. - **Price Monitoring**: Track dynamic pricing for different durations to optimize costs. - **Content Aggregation**: Build databases of parking locations for travel apps or directories. - **Academic Research**: Study transportation infrastructure and user preferences in the trucking industry. - **Business Automation**: Integrate data into ERP systems for automated fleet management decisions. ### Installation and Usage 1. Search for "Trukparkingclub Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs an array of JSON objects, each representing a truck parking listing. Key fields include `listing_id` (unique identifier), `title` (listing name), `available_seats` and `seats` (capacity info), `average_ratings` and `reviews_count` (user feedback), owner details (`owner_public_id`, `owner_first_name`, `owner_last_name`), location data (`state_slug`, `city_slug`, `details_slug`, `lat`, `lng`), `amenities` (array of amenity IDs), `vehicle_type_allowed` (array of allowed vehicle types), and `prices` (array of pricing objects with `price_id`, `price`, `plan_duration`, and `vehicle_type`). Additional metadata like `actor_id` and `run_id` are included for tracking. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Url` (type: `string`): The url for the spider. ## Actor input object example ```json { "Url": "https://truckparkingclub.com/truck-parking?lat=48.455885&lng=-98.163375&zoom=4.000000" } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/trukparkingclub-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/trukparkingclub-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/trukparkingclub-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/trukparkingclub-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trukparkingclub Parser Spider", "description": "Extract comprehensive truck parking listings from TruckParkingClub.com, including availability, pricing, amenities, ratings, and geolocation. Perfect for logistics planning, market research, and fleet automation....", "version": "0.0", "x-build-id": "Qz6djLAc8u280OtDb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~trukparkingclub-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-trukparkingclub-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~trukparkingclub-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-trukparkingclub-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~trukparkingclub-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-trukparkingclub-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "Url": { "title": "Url", "pattern": "^https?://.+", "type": "string", "description": "The url for the spider.", "default": "https://truckparkingclub.com/truck-parking?lat=48.455885&lng=-98.163375&zoom=4.000000" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```